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Transformers for Tabular Data Representation: A Tutorial on Models and Applications

Summary: Tutorial surveying transformer-based representations for tabular data, detailing how LMs adapt to relational tables and modeling limits. Outlines data-management applications and a call for DB researchers to engage with tabular transformers. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
13066
Venue
VLDB
Year
2022
Pagerank
6.4848269e-05
Overall Rank
4,836 | 66.83%
DOI
10.14778/3554821.3554890

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{badaro_vldb22,
        title = {{Transformers for Tabular Data Representation: A Tutorial on Models and Applications}},
        author = {Badaro, Gilbert and Papotti, Paolo},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {12},
        pages = {3746--3749},
        doi = {10.14778/3554821.3554890},
        url = {https://doi.org/10.14778/3554821.3554890},
        year = {2022}
}

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